为地铁运营中断提供灵活的最佳总线计划桥接

IF 2.3 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Yuanwen Lai, Jianhong Liang, Yinsheng Rao, Yanhui Fan, Renyan Zhan, Said Easa, Shuyi Wang
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引用次数: 0

摘要

在地铁突然中断的情况下,调度应急桥接公交车疏散滞留乘客,对提高联动管理水平和服务可靠性具有重要意义。针对应急桥车调度问题,综合考虑常规公交车剩余运力、乘客容忍度、站点便利性等因素,基于车辆运力、调度运力、应急桥车最大疏散时间等约束条件,构建了灵活的应急桥车组合调度模型,力求最大疏散时间和乘客延误时间最小。利用改进的哈里斯鹰算法对模型进行求解,得到了需求响应型和站站衔接型线路的疏散方案。最大疏散时间为 41 分钟,滞留乘客平均延误时间为 19 分钟。结果表明,与固定组合调度和单一调度相比,最大疏散时间分别缩短了 10%和 27%。平均延误时间比固定组合调度和传统单一调度分别减少了 16% 和 42%。对应急桥接公交调度的影响因素进行了敏感性分析。结果表明,本文构建的灵活组合应急桥接公交调度模型可以提高疏散效率,减少乘客出行延误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Flexible optimal bus-schedule bridging for metro operation-interruption

Flexible optimal bus-schedule bridging for metro operation-interruption

Flexible optimal bus-schedule bridging for metro operation-interruption

Under the sudden interruption of the metro, it is significant to dispatch emergency bridging buses to evacuate stranded passengers to improve linkage management and service reliability. Aiming at the problem of emergency bridging bus scheduling, considering the remaining capacity of conventional buses, passenger tolerance, and site convenience, a flexible combined emergency bridging bus scheduling model is constructed based on the constraints of vehicle capacity, dispatching capacity, and maximum evacuation times of emergency bridging bus, aiming at minimizing the maximum evacuation time and passenger delay. The improved Harris hawk algorithm is used to solve the model, and the evacuation plan of the demand-responsive and station-station bridging lines is obtained. The maximum evacuation time is 41 min, and the average delay of stranded passengers is 19 min. The results show that the maximum evacuation time is 10% and 27% less than the fixed combined and single scheduling. The average delay is 16% and 42% less than the fixed combination and traditional single scheduling. The sensitivity analysis of the influencing factors of emergency bridging bus scheduling is conducted. The results show that the flexible combined emergency bridging bus scheduling model constructed in this paper can improve evacuation efficiency and reduce passenger travel delays.

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来源期刊
IET Intelligent Transport Systems
IET Intelligent Transport Systems 工程技术-运输科技
CiteScore
6.50
自引率
7.40%
发文量
159
审稿时长
3 months
期刊介绍: IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf
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